Skill OpenCode
Build enhancer-driven gene regulatory networks (eRegulons) from paired scRNA+scATAC multiome data using SCENIC+, with a FigR alternative in R.
Skill OpenCode
Build enhancer-driven gene regulatory networks (eRegulons) from paired scRNA+scATAC multiome data using SCENIC+, with a FigR alternative in R.
Skill OpenCode
Normalize raw RNA-seq count matrices: pre-filter genes, estimate between-sample size factors (RLE/TMM), compute TPM, variance-stabilize for visualization, correct GC/length bias, and normalize single-cell data.
Skill OpenCode
Annotate ChIP-seq / ATAC-seq peaks with gene features, ENCODE cCRE regulatory classes, and gene-set enrichment using ChIPseeker, HOMER, rGREAT, and ChIP-Enrich.
Skill OpenCode
Analyze a single-cell pooled CRISPR perturbation screen: assign sgRNAs to cells, filter escapers via Mixscape, fit per-gene differential expression (SCEPTRE/PyDESeq2), and rank perturbations by molecular effect.
Skill OpenCode
Analyze Perturb-seq CRISPR screens by linking guide RNA assignments to single-cell transcriptional phenotypes using pertpy and Seurat Mixscape.
Skill OpenCode
Assign cell types to segmented IMC single cells from protein marker expression via Leiden clustering, manual gating, or SOM/supervised classification.
Skill OpenCode
Preprocess scRNA-seq data: QC metrics, filtering, normalization, highly variable gene selection, and scaling for downstream analysis. Covers Scanpy (Python) and Seurat (R).
Skill OpenCode
Analyze single-cell ATAC-seq data: QC, LSI dimensionality reduction, clustering, peak calling, and motif activity scoring.
Skill OpenCode
Infer transcription factor regulons from scRNA-seq with the pySCENIC three-step pipeline (GRNBoost2 → cisTarget → AUCell) plus downstream interpretation.
Skill OpenCode
Analyze single-cell TCR/BCR immune receptor data with scRNA-seq gene expression using scirpy for joint clonotype and cell-state analysis.
Skill OpenCode
Complete single-cell RNA-seq workflow from 10X Cell Ranger counts to annotated cell types, with parallel Seurat (R) and scanpy (Python) paths.
Skill OpenCode
Process 10X scATAC / Multiome data from cellranger output to clustered, annotated cells with per-cluster peaks; choose Signac / ArchR / SnapATAC2 by language and scale.
Skill OpenCode
Detect and remove doublets from scRNA-seq data using Scrublet, DoubletFinder, or scDblFinder.
Skill OpenCode
Single-cell alternative splicing analysis: chemistry gating, junction quantification, per-cell PSI estimation with modality classification, differential splicing / cell-state association testing, APA pivot for 10X 3' data, and quality control with failure-mode reconciliation.
Skill OpenCode
Memory-efficient storage, manipulation, and normalization of zero-heavy (single-cell) expression matrices using scipy.sparse and AnnData.
Skill OpenCode
Analyze spatial cell-cell interactions in multiplexed imaging (IMC) data using squidpy: build spatial neighborhood graphs, test interaction enrichment, characterize local microenvironments, identify spatial domains, and visualize/export results.
Skill OpenCode
Estimate cell-type composition in spatial transcriptomics spots using an annotated scRNA-seq reference (cell2location primary; Tangram and RCTD alternatives).
Skill OpenCode
Identify spatial domains (tissue regions) in spatial transcriptomics data by combining gene expression with spatial proximity, then refine, evaluate, and annotate them.
Skill OpenCode
Visualize spatial transcriptomics data: overlay gene expression, clusters, QC metrics, and spatial statistics on tissue coordinates with optional histology background, interactive napari views, and publication-quality figures.
Skill OpenCode
Download and verify FASTQ from SRA/ENA accessions, with metadata resolution, single-cell/10x technical-read handling, and cloud (STRIDES) support.
Skill OpenCode
Profile RBP-RNA targets without UV crosslinking or immunoprecipitation using deaminase-RBP fusions (STAMP/TRIBE/DART-seq); recover RBP-specific editing sites computationally from bulk RNA-seq or scRNA-seq by subtracting a deaminase-only control.
Skill OpenCode
End-to-end TCR/BCR repertoire analysis from FASTQ to clonotype diversity metrics. Use when analyzing immune repertoire sequencing data from bulk or single-cell experiments.
Skill OpenCode
Infer developmental trajectories and pseudotime ordering from single-cell data using Monocle3, Slingshot, scVelo, PAGA, and velocyto.
Skill OpenCode
Fit smooth non-linear curves to gene expression time series using GAMs (mgcv/tradeSeq), test for temporal trends and condition differences, detect abrupt changepoints (segmented/ruptures), and visualize fitted trajectories with confidence intervals.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: